Carme 2011 - Advances in visualizing categorical data - Michael Friendly
Talk given by Michael Friendly on the occasion of the CARME 2011 organized by the Applied Mathematic Departement.
mathAgrocampus
1&1 Webinar on Latent Transition Analysis (LTA) with Bethany Bray
For more information about latent transition analysis (LTA) or Bethany Bray's research, please visit methodology.psu.edu. The Methodology Center develops ...
methodsctr
Aditya Lahiri: Dealing With Imbalanced Classes in Machine Learning | PyData New York 2019
Skewed datasets are not uncommon. And they are tough to handle. Usual classification models and techniques often fail miserably when presented with such a ...
PyData
M-05. Ordinal categorical data 2
e-Content:Social Science
sdm4 overview of chapter 2 (Categorical data)
This is a video overview of a chapter of Stats: Data and Models (De Veaux, Velleman, and Bock) 4th edition with guidance for the reader. The R companion ...
Nicholas Horton
Categorical latent variable modeling with cross-sectional data, Mplus Topic 5, Part 3
Topic 5: Categorical latent variable modeling with cross-sectional data. Recorded presentation at Freie University, Berlin, July 17, 2009. Link to handouts ...
Mplus
Chi-Square
Elizabeth Bauer - Statistics for the Behavioral.
New York University
Introduction to Statistics: Basic Concepts and Terminology
This tutorial serves as an introduction to statistics. Scroll to the bottom of this description for 2 excellent books that make data and statistics more meaningful.
Learn Something
Introduction To Machine Learning | What is Machine Learning? | Machine Learning Basics | Edureka
Data Science Certification Training: https://www.edureka.co/data-science ** This Edureka's live session on "Introduction To Machine Learning" will help you ...
edureka!
Deep Learning for Image Analysis
Presented by Benjamin Wilhelm and David Kolb. Download the slides and follow the KNIME Virtual Summit here: ...
KNIMETV
Categorical Latent Variable Modeling Using Mplus: Cross-Sectional Data, Short Course Topic 5, Part 3
Categorical Latent Variable Modeling Using Mplus: Cross-Sectional Data. 07-18-2009.
Mplus
Data management: How to create a categorical variable from a continuous variable
This video demonstrates how to create a categorical variable from a continuous variable. Copyright 2011-2019 StataCorp LLC. All rights reserved.
StataCorp LLC
Open the Black Box: an Introduction to Model Interpretability with LIME and SHAP - Kevin Lemagnen
PyData NYC 2018 What's the use of sophisticated machine learning models if you can't interpret them? This workshop covers two recent model interpretability ...
PyData
Talks@12: Data Science & Medicine
Innovations in ways to compile, assess and act on the ever-increasing quantities of health data are changing the practice and police of medicine. Statisticians ...
Harvard Medical School
Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka
Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training This Edureka video on "Artificial ...
edureka!
What is Latent Class Analysis? by Tarani Chandola
The basic idea underlying Latent Class Analysis (LCA) is that there are unobserved subgroups of cases in the data. These unobserved subgroups form the ...
methodsMcr
Top 10 Machine Learning Algorithms in 2020 | Learn ML in 2020 | Machine Learning Training | Edureka
Edureka Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training This Edureka video on 'Top 10 Machine ...
edureka!
Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software
SAS/STAT® software and SAS® Enterprise Miner™ are two excellent environments for applying machine learning and other analytical procedures to a wide ...
SAS Users
Categorical latent variable modeling with cross-sectional data, Mplus Topic 5, Part 2
Topic 5: Categorical latent variable modeling with cross-sectional data. Recorded presentation at Freie University, Berlin, July 17, 2009. Link to handouts ...
Mplus
Keras Tutorial TensorFlow | Deep Learning with Keras | Building Models with Keras | Edureka
TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka Keras Tutorial TensorFlow video (Blog: https://goo.gl/4zxMfU) ...
edureka!
Hinge Loss for Binary Classifiers
Barry Van Veen
Part 01: Overview of General Biostatistics
This program provides state-of-the-art information on epidemiology and research methods for those working in administrative, clinical and research areas.
UW Video
Finding the Right Model | RapidMiner
In this tutorial, we go over how to choose the best model for your data. Download the sample tutorial files at ...
RapidMiner, Inc.
Introduction to Latent Class Analysis in Mplus
This presentation will introduce Latent Class Analysis (LCA) and its implementation in Mplus. LCA, a latent variable modeling approach, is used to classify ...
Michael Toland
SPSS Tutorial 7 - Using Percentages in Cross-tabulations
This video shows how percentages can be used to help interpret differences between groups and sub-groups when cross-tabulating data. You can download ...
patrickkwhite
Machine Learning Interview Questions And Answers | Data Science Interview Questions | Simplilearn
This Machine Learning Interview Questions And Answers video will help you prepare for Data Science and Machine learning interviews. This video is ideal for ...
Simplilearn
The TileDB Array Data Storage Manager - Stavros Papadopoulos, Jake Bolewski
PyData NYC 2018 TileDB is an open-source storage manager for multi-dimensional sparse and dense array data. It has a novel architecture that addresses ...
PyData
Two Way Tables for categorical data
Made with Explain Everything.
ecasarico
Extracting data for Meta-analysis: Step 2
How to identify study arms or comparison groups for meta-analysis data extraction Table of Contents: 00:00 - Marker 00:18 - 00:44 - 00:59 - 01:17 - 03:11 - 04:04 ...
Scott Parrott
Longitudinal Analysis
In longitudinal studies, subjects are followed for a period of time and outcomes along with other characteristics for each subject are measured at multiple ...
BiostatisticsMCW
Implementing a Spam classifier in python| Natural Language Processing
Here is the detailed explanation of implementing a Spam classifier in python using Natural Language Processing. Github link: ...
Krish Naik
Binary logistic regression using SPSS menus (short demo; July, 2019)
This video provides a general walk-through of the binary logistic regression example found at https://stats.idre.ucla.edu/spss/output/logistic-regression (The ...
Mike Crowson
Highlights of SAS/STAT 14.1
Maura Stokes of SAS reviews the highlights and important enhancements in SAS/STAT 14.1 with practical illustrations. LEARN MORE! WHAT'S NEW IN ...
SAS Software
Machine Learning Tutorial | Machine Learning Basics | Machine Learning Algorithms | Simplilearn
This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine ...
Simplilearn
Multivariate Analysis and Advanced Visualization in JMP (12/2017)
Julian Parris
How to select the best model using cross validation in python
Here is a detailed explanation of what steps we can follow to select model for a particular problem statement. This involves using cross validation techniques.
Krish Naik
Probit and Logit Models in Stata
Probit and Logit Models in Stata https://sites.google.com/site/econometricsacademy/econometrics-models/probit-and-logit-models.
econometricsacademy
R tutorial: Intro to Credit Risk Modeling
Learn more about credit risk modeling with R: https://www.datacamp.com/courses/introduction-to-credit-risk-modeling-in-r Hi, and welcome to the first video of ...
DataCamp
Naive Bayes Classifier Tutorial | Naive Bayes Demo | Machine Learning Algorithm | Great Learning
Get your free certificate of completion for the Machine Learning Course, Register Now: http://glacad.me/ML_Foundations A Naïve Bayes classifier is an ...
Great Learning
60. Cluster Analysis in Practice - II
Cluster Analysis in Practice - II.
IIT Roorkee July 2018
What Multilevel Modeling Can Teach Us: Segment 15 - Outline, DSEM
What Multi-Level Modeling Can Teach Us About Single-Level Modeling & Vice Versa: The Case of Latent Transition Analysis - Segment 15: Outline, DSEM ...
Mplus
Introduction to Intensive Longitudinal Data, Mplus Short Course Topic 12, Part 1
Mplus Short Course Topic 12: Regression and Mediation Analysis Part 1 - Introduction to Intensive Longitudinal Data and Time Series Analysis Link to handouts ...
Mplus
